Network localization of cervical dystonia based on causal brain lesions

Cervical dystonia is a neurological disorder characterized by sustained, involuntary movements of the head and neck. Most cases of cervical dystonia are idiopathic, with no obvious cause, yet some cases are acquired, secondary to focal brain lesions. These latter cases are valuable as they establish a causal link between neuroanatomy and resultant symptoms, lending insight into the brain regions causing cervical dystonia and possible treatment targets. However, lesions causing cervical dystonia can occur in multiple different brain locations, leaving localization unclear. Here, we use a technique termed lesion network mapping', which uses connectome data from a large cohort of healthy subjects (resting state functional MRI, n = 1000) to test whether lesion locations causing cervical dystonia map to a common brain network. We then test whether this network, derived from brain lesions, is abnormal in patients with idiopathic cervical dystonia (n = 39) versus matched controls (n = 37). A systematic literature search identified 25 cases of lesion-induced cervical dystonia. Lesion locations were heterogeneous, with lesions scattered throughout the cerebellum, brainstem, and basal ganglia. However, these heterogeneous lesion locations were all part of a single functionally connected brain network. Positive connectivity to the cerebellum and negative connectivity to the somatosensory cortex were specific markers for cervical dystonia compared to lesions causing other neurological symptoms. Connectivity with these two regions defined a single brain network that encompassed the heterogeneous lesion locations causing cervical dystonia. These cerebellar and somatosensory regions also showed abnormal connectivity in patients with idiopathic cervical dystonia. Finally, the most effective deep brain stimulation sites for treating dystonia were connected to these same cerebellar and somatosensory regions identified using lesion network mapping. These results lend insight into the causal neuroanatomical substrate of cervical dystonia, demonstrate convergence across idiopathic and acquired dystonia, and identify a network target for dystonia treatment

L.F. RADIO-DATA Specification of BBC phase-modulated transmissions on long-wave

SIGLEAvailable from British Library Lending Division - LD:7383.85(BBC-RD--1984/19) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Conditional Access Broadcasting Datacare 2; an over-air enabled system for general purpose data channels

SIGLEAvailable from British Library Document Supply Centre- DSC:7383.85(BBC-RD--1988/10) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Large-scale analysis of interindividual variability in theta-burst stimulation data:Results from the ‘Big TMS Data Collaboration’

BACKGROUND: Many studies have attempted to identify the sources of interindividual variability in response to theta-burst stimulation (TBS). However, these studies have been limited by small sample sizes, leading to conflicting results. OBJECTIVE/HYPOTHESIS: This study brought together over 60 TMS researchers to form the ‘Big TMS Data Collaboration’, and create the largest known sample of individual participant TBS data to date. The goal was to enable a more comprehensive evaluation of factors driving TBS response variability. METHODS: 118 corresponding authors of TMS studies were emailed and asked to provide deidentified individual TMS data. Mixed-effects regression investigated a range of individual and study level variables for their contribution to variability in response to iTBS and cTBS. RESULTS: 430 healthy participants’ TBS data was pooled across 22 studies (mean age = 41.9; range = 17 – 82; females = 217). Baseline MEP amplitude, age, target muscle, time of day, and TMS machine significantly predicted iTBS-induced plasticity. Baseline MEP amplitude, and timepoint after TBS significantly predicted cTBS-induced plasticity. CONCLUSIONS: This is the largest known study of interindividual variability in TBS. Our findings indicate that a significant portion of variability can be attributed to the methods used to measure the modulatory effects of TBS. We provide specific methodological recommendations in order to control and mitigate these sources of variability

Recommendations for the conduct of efficacy trials of treatment devices for osteoarthritis: a report from a working group of the Arthritis Research UK Osteoarthritis and Crystal Diseases Clinical Studies Group

Objective. There are unique challenges to designing and carrying out high-quality trials testing therapeutic devices in OA and other rheumatic diseases. Such challenges include determining the mechanisms of action of the device and the appropriate sham. Design of device trials is more challenging than that of placebo-controlled drug trials. Our aim was to develop recommendations for designing device trials.Methods. An Arthritis Research UK study group comprised of 30 rheumatologists, physiotherapists, podiatrists, engineers, orthopaedists, trialists and patients, including many who have carried out device trials, met and (using a Delphi-styled approach) came to consensus on recommendations for device trials.Results. Challenges unique to device trials include defining the mechanism of action of the device and, therefore, the appropriate sham that provides a placebo effect without duplicating the action of the active device. Should there be no clear-cut mechanism of action, a three-arm trial including a no-treatment arm and one with presumed sham action was recommended. For individualized devices, generalizable indications and standardization of the devices are needed so that treatments can be generalized.Conclusion. A consensus set of recommendations for device trials was developed, providing a basis for improved trial design, and hopefully improvement in the number of effective therapeutic devices for rheumatic diseases